How to Build Extensible Data Pipelines Using External Functions

Modern analytical workloads often require complex and advanced data transformations and augmentations using custom or third-party code, services, and machine learning (ML) models. However, it is often challenging to bring in external services and libraries without complicating data pipelines.

Join us on December 4 to learn how you can use Snowflake’s external functions to expand the use cases you can deliver for your business while keeping pipelines integrated. In this live webinar session, you’ll see a real-world demo on web traffic analysis, and you’ll learn:

• The benefits of Snowflake’s extensibility features
• How to leverage external services to expand use cases
• How to use Snowflake’s external functions to bring in third-party code, services, and ML scoring
• How to opt in for Snowflake’s performant and reliable processing